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    Mobile image based color correction using deblurring

    Access Status
    Fulltext not available
    Authors
    Wang, Y.
    Xu, C.
    Boushey, Carol
    Zhu, F.
    Delp, E.
    Date
    2015
    Type
    Conference Paper
    
    Metadata
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    Citation
    Wang, Y. and Xu, C. and Boushey, C. and Zhu, F. and Delp, E. 2015. Mobile image based color correction using deblurring, in Proceedings of the IS&T-SPIE Electronic Imaging Symposium: Computational Imaging XIII, Feb 10-11 2015, Volume 9401: Paper 940107. San Francisco, CA, USA: SPIE.
    Source Title
    Proceedings of SPIE - The International Society for Optical Engineering
    DOI
    10.1117/12.2083133
    ISBN
    9781628414912
    School
    School of Public Health
    URI
    http://hdl.handle.net/20.500.11937/51011
    Collection
    • Curtin Research Publications
    Abstract

    Dietary intake, the process of determining what someone eats during the course of a day, provides valuable insights for mounting intervention programs for prevention of many chronic diseases such as obesity and cancer. The goals of the Technology Assisted Dietary Assessment (TADA) System, developed at Purdue University, is to automatically identify and quantify foods and beverages consumed by utilizing food images acquired with a mobile device. Color correction serves as a critical step to ensure accurate food identification and volume estimation. We make use of a specifically designed color checkerboard (i.e. a fiducial marker) to calibrate the imaging system so that the variations of food appearance under different lighting conditions can be determined. In this paper, we propose an image quality enhancement technique by combining image de-blurring and color correction. The contribution consists of introducing an automatic camera shake removal method using a saliency map and improving the polynomial color correction model using the LMS color space.

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